Complex networks
Exploring the structure of real-world complex networks
Collaborators
Project Overview
During the summer of 2013—2014 I studied the statistical properties of complex networks while on an Australian Mathematical Sciences Institute (AMSI) summer vacation scholarship. The goal of this project was to understand what makes real world complex networks special. We used a Markov Chain Monte Carlo method—perturbing the edge structure of the network—to explore the space of complex networks with the same degree distribution as some real world networks.
Further reading
- A brief blog post that was published just after the completion of the project can be found HERE (in hindsight it could have done with a quick proof read!).
Technical Details
- MATLAB for simulation
- Real Data including (i) the neural network structure for c.elegans (biological), (ii) airports connected by flight-paths in the U.S. (technological), (iii) a high school community (social), and (iv) co-authorship in Network Science (social).